90 citations · 334 across the 11 of their papers we have counts for
17 papers
Toward AI Assistants That Let Designers Design
Sebastiaan De Peuter, Antti Oulasvirta, Samuel Kaski
AI for supporting designers needs to be rethought. It should aim to cooperate, not automate, by supporting and leveraging the creativity and problem-solving of designers. The chall…
Adapting User Interfaces with Model-based Reinforcement Learning
Kashyap Todi, Gilles Bailly, Luis A. Leiva +1
Adapting an interface requires taking into account both the positive and negative effects that changes may have on the user. A carelessly picked adaptation may impose high costs to…
Improving Artificial Teachers by Considering How People Learn and Forget
Aurélien Nioche, Pierre-Alexandre Murena, Carlos de la Torre-Ortiz +1
The paper presents a novel model-based method for intelligent tutoring, with particular emphasis on the problem of selecting teaching interventions in interaction with humans. Wher…
Understanding Visual Saliency in Mobile User Interfaces
Luis A. Leiva, Yunfei Xue, Avya Bansal +4
For graphical user interface (UI) design, it is important to understand what attracts visual attention. While previous work on saliency has focused on desktop and web-based UIs, mo…
Human Strategic Steering Improves Performance of Interactive Optimization
Fabio Colella, Pedram Daee, Jussi Jokinen +2
A central concern in an interactive intelligent system is optimization of its actions, to be maximally helpful to its human user. In recommender systems for instance, the action is…
Foraging-based Optimization of Menu Systems
Niraj Ramesh Dayama, Morteza Shiripour, Antti Oulasvirta +2
Computational design of menu systems has been solved in limited cases such as the linear menu (list) as an assignment task, where commands are assigned to menu positions while opti…